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Relevant bibliographies by topics / Estimating construction costs

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Academic literature on the topic 'Estimating construction costs'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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Journal articles on the topic "Estimating construction costs"

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Bacon, Robert W., and John E. Besant-Jones. "Estimating construction costs and schedules." Energy Policy 26, no. 4 (March 1998): 317–33. http://dx.doi.org/10.1016/s0301-4215(97)00164-x.

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Wilmot, C. G., and G. Cheng. "Estimating Future Highway Construction Costs." Journal of Construction Engineering and Management 129, no. 3 (June 2003): 272–79. http://dx.doi.org/10.1061/(asce)0733-9364(2003)129:3(272).

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Qasim, Syed R., Siang W. Daniel Lim, Edward M. Motley, and Kim G. Heung. "Estimating Costs for Treatment Plant Construction." Journal - American Water Works Association 84, no. 8 (August 1992): 56–62. http://dx.doi.org/10.1002/j.1551-8833.1992.tb07412.x.

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Le, Hang Thu Thi, Veerasak Likhitruangsilp, and Nobuyoshi Yabuki. "A BIM-DATABASE-INTEGRATED SYSTEM FOR CONSTRUCTION COST ESTIMATION." ASEAN Engineering Journal 11, no. 1 (March 16, 2021): 45–59. http://dx.doi.org/10.11113/aej.v11.16666.

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This paper presents a building information modeling (BIM)-database-integrated system for estimating the construction costs of building projects. The proposed system consists of four main modules: (1) the relational database management module, (2) the visualized BIM-integrated module, (3) the cost estimation module, and (4) the BIM-integrated report module. The relational database management module is designed to store and update the necessary data, which are extracted from BIM models. The visualized BIM-integrated module assists users in visualizing the complex building elements while performing cost estimating. The cost estimation module computes construction cost components. It can also automatically adjust to the change of the building element parameters while estimating costs. This module can minimize human errors associated with manual data input and calculation. The BIM-integrated report module allows users to access and comprehend the results conveniently. As compared to traditional 2D CAD drawings, the proposed system offers a more efficient methodology for construction cost estimating through 3D models. It can also minimize time, costs, and errors in the cost estimating process for building procurement.

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V. Montes, M., R. M. Falcón, and A. Ramírez-de-Arellano. "Estimating Building Construction Costs by Production Processes." Open Construction and Building Technology Journal 8, no. 1 (December 12, 2014): 171–81. http://dx.doi.org/10.2174/1874836801408010171.

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Building actors need accurate estimates in order to efficiently undertake the construction of buildings. The knowledge of real expected costs of construction works is a necessary condition for contractors to submit competitive tenders and for developers to be aware of the magnitude of their investment. In this paper, an innovative process-based model is presented, the POP model. This model aims at providing building actors with a systematized methodology to calculate building construction costs based on the planning, organization and scheduling of the expected works. Unlike the model of construction work units, the most widespread estimate model in Spain, the POP model comprises all construction costs in a direct way by identifying the production processes involved and the resources consumed, giving a new approach to the principles of the activity-based costing methodology in tune with the process-based cost models that are emerging in the international scene. Nowadays, the model is being applied in real construction works with satisfactory results of transparency, detail and adaptability. Not only reliable estimates are obtained, but also the performance of works is devised, allowing its optimization and control.

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Park, Sung-Chul, and Hee-Won Park. "Estimating on The Construction Costs for Public Kindergarten Buildings." Journal of Educational Environment Research 13, no. 1 (April 30, 2014): 1–14. http://dx.doi.org/10.7743/kiee.2014.13.1.001.

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Rajeh, Mohammed, John E. Tookey, and James Olabode Bamidele Rotimi. "Estimating transaction costs in the New Zealand construction procurement." Engineering, Construction and Architectural Management 22, no. 2 (March 16, 2015): 242–67. http://dx.doi.org/10.1108/ecam-10-2014-0130.

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Purpose – Within construction procurement, transaction cost economics offers a mechanism to understand “unseen” costs associated with the pre- and post-contract work. Pre-contract, these include costs related to information gathering and procurement. Post-contract they include activities of contract administration and enforcement. The purpose of this paper is to estimate the magnitude of transaction costs (TCs) for different procurement systems used in construction projects in New Zealand. Specifically estimating the relative values of TCs for Traditional and Design-Build delivery systems for the purpose of comparison. Design/methodology/approach – This study develops a conceptual model for the relationship between procurement systems and TC. The model was operationalized and developed into a questionnaire. A cross-sectional sample approach was deployed, involving pilot and survey questionnaires, and results verification through “real world” cases. Data were sought from construction professionals in management, design and operations (i.e. project managers, architects, engineers, quantity surveyors, and procurement officers). TCs were measured using time-spent conducting procurement-related activities as a surrogate for cost. Professionals evaluate their time-spent in procurement activities using a Likert scale 1-5, comparing the Traditional and Design-Build delivery systems. Data were triangulated with “real world” cases to test and explain the developed model. The test included validity and reliability, path analysis, regression analysis, factor analysis, and structural equation modelling (SEM). The primary analytical technique used was SEM to yield information on goodness-of-fit, model development and comparison, and confirmatory strategies. SPSS Amos 21 statistical software was used for data analysis and model development. Findings – The results suggest that procurement systems have indirect impact on TCs. The relationship between procurement system and TCs is fully mediated by costs of information, procurement, administration, and enforcement. Applying the developed models (the Traditional and Design-Build) to “real world” cases, it was found that TCs in the Traditional system amounts to 18.5 percent of the annual salary cost of a project manager (as an indicator quantum), while in the Design-Build system, it amounts to 14.5 percent of the annual salary cost of a project manager. TCs were calculated using regression equations based on factor loadings in the Traditional and Design-Build models. Practical implications – This study applies new theoretical model for the link between procurement system and TCs, investigating and empirically demonstrating the influence of procurement system on TCs in construction. It also offers a new plausible explanation for the factors influencing TCs in procurement. The study emphasizes “in-house” TCs from the perspective of the professionals. The findings have practical implications on construction business practice due to their robust empirical nature and theoretical framework, which might enhance the performance of the construction industry. Originality/value – This study contributes to the procurement selection in construction, by introducing a new conceptual model for the link between procurement system and TCs. It has extended the current practices for procurement selection by estimating TCs for the Traditional and Design-Build systems for comparison.

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Daniels, Ginger, William R. Stockton, and Robert Hundley. "Estimating Road User Costs Associated with Highway Construction Projects: Simplified Method." Transportation Research Record: Journal of the Transportation Research Board 1732, no. 1 (January 2000): 70–79. http://dx.doi.org/10.3141/1732-09.

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Road user costs (RUC) are defined as the estimated incremental daily costs to the traveling public resulting from the construction work being performed. Those costs are primarily time lost because of conditions such as detours/rerouting that add to travel time, reduced roadway capacity that slows travel speed and increases travel time, or a delay in the opening of a new or improved facility that prevents users from gaining travel time benefits. In Texas, RUC analyses and associated liquidated damages have been applied predominantly to high-profile urban freeway reconstruction projects, which are ideal candidates for RUC application because of the potential for very high motorist delay costs. A much wider range of projects involving the addition of capacity can be considered for RUC. Not all potential projects, however, are as complicated as urban freeway reconstruction efforts that require detailed simulation modeling to determine the value of RUC. The results of a research study that developed a manual technique for determining RUC are documented, along with associated liquidated damages for typical added-capacity and highway rehabilitation projects. The technique involves a series of look-up tables that provide RUC values on the basis of project type and a minimal number of project attributes. Two different approaches were employed: a before-and-after approach for added capacity projects and a during-versus-after-construction approach for rehabilitation projects.

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Akcay, Cemil, Selman Aslan, Baris Sayin, and Ekrem Manisalı. "Estimating OHS costs of building construction projects based on mathematical methods." Safety Science 109 (November 2018): 361–67. http://dx.doi.org/10.1016/j.ssci.2018.06.021.

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Kim, Gwang-Hee, Jie-Eon Yoon, Sung-Hoon An, Hun-Hee Cho, and Kyung-In Kang. "Neural network model incorporating a genetic algorithm in estimating construction costs." Building and Environment 39, no. 11 (November 2004): 1333–40. http://dx.doi.org/10.1016/j.buildenv.2004.03.009.

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Dissertations / Theses on the topic "Estimating construction costs"

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Rouhana, Khalil G. "Neural networks applications in estimating construction costs." Thesis, This resource online, 1994. http://scholar.lib.vt.edu/theses/available/etd-12302008-063358/.

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Asif, Mohammad. "Simple generic models for cost-significant estimating of construction project costs." Thesis, University of Dundee, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.330103.

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Van, de Voorde James R. "Estimating indirect costs of injuries to construction worker." Thesis, Springfield, Virginia: Available from National Technical Information Service, 1991. http://hdl.handle.net/10945/28174.

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Lloyd, P. "A comparison of some estimating techniques for construction." Thesis, University of Nottingham, 1986. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.381057.

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Licher, Monica Katherine. "Estimating Post-Construction Costs of a Changing Urban Stormwater Program." Diss., Virginia Tech, 2016. http://hdl.handle.net/10919/73679.

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Degradation of the nation's waters continues to be a problem and urban runoff is a large contributor to it. New stormwater management policies stress the importance of using stormwater control practices that reduce the quantity and improve the quality of stormwater runoff. The new approaches tend to emphasize small-scale, on-site practices over large scale. Yet to achieve water quality benefits, stormwater control practices must be maintained over time. Maintenance costs of these facilities, however, are poorly understood. A case study of five municipalities around the United States is used to estimate inspection and enforcement costs for each case site. Maintenance activities and costs were collected at the case sites for the following stormwater controls: dry ponds, wet ponds, wetlands, bioretention facilities, sand filters, and infiltration trenches. Cost estimates indicate that inspection and enforcement is not influenced by type. Maintenance cost estimates change depending on the BMP type. Estimated annual post-construction costs applied to a hypothetical 1,000-acre indicate that moving from large-scale to small-scale stormwater controls has a large impact in terms of financial obligation.
Ph. D.

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Choi, Ming-hang Edmund, and 蔡銘鏗. "Evaluation of the cost estimating systems." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2001. http://hub.hku.hk/bib/B31251651.

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Mao, Yizheng. "A web-based framework for estimating premium costs of potential LEED new construction projects." Thesis, California State University, Long Beach, 2016. http://pqdtopen.proquest.com/#viewpdf?dispub=10004156.

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LEED-certified green buildings benefit the owner not only in reducing operating costs, but also in improving the wellbeing of the occupants. LEED premium cost is the extra money a project owner invests in order to upgrade a conventional building to a Green Building. From the financial perspective, the amount of the premium cost is the major concern that keeps investors from targeting LEED certified projects. This study presents the development of cost estimation simulation model: LEED Premium Aided Cost Estimation (LEED PACE) for accurate premium cost in order to help the project owner/investor/architect to estimate the premium cost for potential LEED projects. The estimation program is built off on traditional building code (normally referred to as local municipal codes) and LEED system, which provides project based premium cost estimation. LEED PACE provides potential LEED credits acquisition based on existing project design information. Furthermore, PACE lists all targetable LEED credit(s) with corresponding premium cost(s) to inform project owner what LEED credit(s) can be acquired by changing project design elements and contributing extra cost(s). The parameters used to calculate extra construction costs are extracted from Green Building Cost RS MEANS. Although LEED PACE estimates extra construction cost needed for a traditional project in the City of Los Angeles to target LEED certification, the framework of building LEED PACE can be used to make LEED premium cost estimation for traditional project without geographical limitations. This empirical tool is expected to assist building owner/investor/policymaker in making better-informed decisions towards LEED certification from the economic perspective of sustainability.

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Van, Reede Van Oudtshoorn Armand. "A critical review of the possible reasons for construction cost overruns in light of cost estimating methodologies and models used in industry." Thesis, Stellenbosch : Stellenbosch University, 2012. http://hdl.handle.net/10019.1/95685.

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Thesis (MBA)--Stellenbosch University, 2012.
ENGLISH ABSTRACT: This research report was conducted to critically review the methodologies and best practices prescribed by world class cost engineering experts and institutions, in order to develop a cost estimating model which organisations could use as a guideline for their cost estimates on large capital intensive projects.
AFRIKAANSE OPSOMMING: Hierdie navorsingsverslag is gedoen om ‘n kritiese oorsig te doen op die metodes en beste praktyke voorgeskryf deur wereldklas koste ingenieur deskundiges en instansies, om sodoende ‘n koste beramings model te ontwikkel wat gebruik kan word deur organisasies as handleiding gedurende die koste beraming van hulle kapitale intensiewe projekte.

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Miroyannis, Aristides. "Estimation of ship construction costs." Thesis, Massachusetts Institute of Technology, 2006. http://hdl.handle.net/1721.1/36275.

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Thesis (S.M. in Ocean Systems Management)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2006.
Includes bibliographical references (p. 105-107).
Since the end of the Cold War naval procurement for the US Navy has seen a dramatic decrease. This decrease in defense spending has placed existing programs under more scrutiny than previous years. As a result there is less tolerance on the part of taxpayers and Congress for procurement cost growth. This Thesis attempts to examine the current method that the Navy conducts ship cost estimates and suggests changes in order to improve the confidence level and accuracy of the forecasts. An examination of how industry is conducting cost estimates was used as a comparison to the current Navy practices. Finally using only a weight based approach to ship cost estimating is insufficient. It is necessary to develop and use a model that incorporates other cost driving factors in order to develop estimates of sufficient quality at the preliminary design level.
by Aristides Miroyannis.
S.M.in Ocean Systems Management

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Phaobunjong, Kan. "Parametric cost estimating model for conceptual cost estimating of building construction projects." Thesis, Full text (PDF) from UMI/Dissertation Abstracts International, 2002. http://wwwlib.umi.com/cr/utexas/fullcit?p3086790.

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Books on the topic "Estimating construction costs"

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Peurifoy, R. L. Estimating construction costs. 4th ed. New York: McGraw-Hill, 1989.

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D, Oberlender Garold, ed. Estimating construction costs. 5th ed. Boston: McGraw-Hill, 2002.

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Toenjes, Leonard P. Construction estimating. Homewood, IL: American Technical Publishers, 2008.

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Jerry, Householder, ed. Estimating home construction costs. Washington, DC: Home Builder Press, 1999.

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Estimating for residential construction. 2nd ed. Albany, N.Y: Delmar Publishers, 1991.

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Estimating home construction cost. 2nd ed. Washington, D.C: Builder Books, 2006.

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Construction estimating: Professional reference. Pottstown, PA: PAL Publications, 2006.

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Construction estimating complete handbook: Excel estimating included. Clifton Park, NY: Delmar, 2010.

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Jackson, W. P. Estimating home building costs. Carlsbad, CA: Craftsman Bk. Co., 2008.

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Householder, Jerry. Estimating for home builders. 2nd ed. Washington, DC: Home Bulider Press, 1992.

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Book chapters on the topic "Estimating construction costs"

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Rosasco, Paolo, and Leopoldo Sdino. "The Regional Price Lists for Estimating the Costs of Construction." In Appraisal and Valuation, 213–29. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-49579-4_15.

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Holm, Len, and John E. Schaufelberger. "Preconstruction." In Construction Cost Estimating, 48–59. First edition. | Abingdon, Oxon ; New York : Routledge/Taylor & Francis Group, 2021. | Substantial re-write from previous estimating text: Construction Cost Estimating, Process and Practices by Holm, Schaufelberger, Griffin, and Cole; Pearson, 2005.: Routledge, 2021. http://dx.doi.org/10.1201/9781003023494-6.

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Holm, Len, and John E. Schaufelberger. "Other types of estimates." In Construction Cost Estimating, 282–96. First edition. | Abingdon, Oxon ; New York : Routledge/Taylor & Francis Group, 2021. | Substantial re-write from previous estimating text: Construction Cost Estimating, Process and Practices by Holm, Schaufelberger, Griffin, and Cole; Pearson, 2005.: Routledge, 2021. http://dx.doi.org/10.1201/9781003023494-29.

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Holm, Len, and John E. Schaufelberger. "Introduction to construction project management." In Construction Cost Estimating, 37–47. First edition. | Abingdon, Oxon ; New York : Routledge/Taylor & Francis Group, 2021. | Substantial re-write from previous estimating text: Construction Cost Estimating, Process and Practices by Holm, Schaufelberger, Griffin, and Cole; Pearson, 2005.: Routledge, 2021. http://dx.doi.org/10.1201/9781003023494-5.

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Holm, Len, and John E. Schaufelberger. "Construction project management applications of estimates." In Construction Cost Estimating, 297–308. First edition. | Abingdon, Oxon ; New York : Routledge/Taylor & Francis Group, 2021. | Substantial re-write from previous estimating text: Construction Cost Estimating, Process and Practices by Holm, Schaufelberger, Griffin, and Cole; Pearson, 2005.: Routledge, 2021. http://dx.doi.org/10.1201/9781003023494-30.

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Holm, Len, and John E. Schaufelberger. "Concrete pricing." In Construction Cost Estimating, 134–46. First edition. | Abingdon, Oxon ; New York : Routledge/Taylor & Francis Group, 2021. | Substantial re-write from previous estimating text: Construction Cost Estimating, Process and Practices by Holm, Schaufelberger, Griffin, and Cole; Pearson, 2005.: Routledge, 2021. http://dx.doi.org/10.1201/9781003023494-14.

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Holm, Len, and John E. Schaufelberger. "Concrete superstructure." In Construction Cost Estimating, 80–91. First edition. | Abingdon, Oxon ; New York : Routledge/Taylor & Francis Group, 2021. | Substantial re-write from previous estimating text: Construction Cost Estimating, Process and Practices by Holm, Schaufelberger, Griffin, and Cole; Pearson, 2005.: Routledge, 2021. http://dx.doi.org/10.1201/9781003023494-9.

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Holm, Len, and John E. Schaufelberger. "Types of estimates." In Construction Cost Estimating, 17–25. First edition. | Abingdon, Oxon ; New York : Routledge/Taylor & Francis Group, 2021. | Substantial re-write from previous estimating text: Construction Cost Estimating, Process and Practices by Holm, Schaufelberger, Griffin, and Cole; Pearson, 2005.: Routledge, 2021. http://dx.doi.org/10.1201/9781003023494-3.

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Holm, Len, and John E. Schaufelberger. "Jobsite general conditions." In Construction Cost Estimating, 207–20. First edition. | Abingdon, Oxon ; New York : Routledge/Taylor & Francis Group, 2021. | Substantial re-write from previous estimating text: Construction Cost Estimating, Process and Practices by Holm, Schaufelberger, Griffin, and Cole; Pearson, 2005.: Routledge, 2021. http://dx.doi.org/10.1201/9781003023494-22.

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Holm, Len, and John E. Schaufelberger. "Structural steel." In Construction Cost Estimating, 92–102. First edition. | Abingdon, Oxon ; New York : Routledge/Taylor & Francis Group, 2021. | Substantial re-write from previous estimating text: Construction Cost Estimating, Process and Practices by Holm, Schaufelberger, Griffin, and Cole; Pearson, 2005.: Routledge, 2021. http://dx.doi.org/10.1201/9781003023494-10.

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Conference papers on the topic "Estimating construction costs"

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ALSHIBANI, ADEL, OTHMAN ASHAMRANI, and MESSAM SHAAWAT. "MODEL FOR ESTIMATING CONSTRUCTION COSTS FOR LOW-RISE RESIDENTIAL BUILDINGS." In URBAN GROWTH 2018. Southampton UK: WIT Press, 2018. http://dx.doi.org/10.2495/ug180211.

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Becker, Timothy C., Edward J. Jaselskis, Mohamed El-Gafy, and Jing Du. "Industry Practices for Estimating, Controlling, and Managing Key Indirect Construction Costs at the Project Level." In Construction Research Congress 2012. Reston, VA: American Society of Civil Engineers, 2012. http://dx.doi.org/10.1061/9780784412329.248.

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Shi, Huawang, Jina Song, and Xiaojun Zhang. "Notice of Retraction: The method and application for estimating construction project costs." In 2010 IEEE International Conference on Advanced Management Science (ICAMS). IEEE, 2010. http://dx.doi.org/10.1109/icams.2010.5553182.

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Akbarnezhad, A., and Z. S. Moussavi Nadoushani. "Estimating the Costs, Energy Use and Carbon Emissions of Concrete Recycling Using Building Information Modelling." In 31st International Symposium on Automation and Robotics in Construction. International Association for Automation and Robotics in Construction (IAARC), 2014. http://dx.doi.org/10.22260/isarc2014/0051.

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Jen, Henyi, and Yu-chiun Chen. "An Analytic Model Combining Monte Carlo Simulation and PSO in Estimating Project Completion Probability of Project Durations and Costs." In 26th International Symposium on Automation and Robotics in Construction. International Association for Automation and Robotics in Construction (IAARC), 2009. http://dx.doi.org/10.22260/isarc2009/0011.

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Zima, Krzysztof. "The use of fuzzy case-based reasoning in estimating costs in the early phase of the construction project." In PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON NUMERICAL ANALYSIS AND APPLIED MATHEMATICS 2014 (ICNAAM-2014). AIP Publishing LLC, 2015. http://dx.doi.org/10.1063/1.4912842.

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Agar, Amritpal S., Andy J. Fry, Martin J. Goodfellow, Yee M. Goh, and Linda B. Newnes. "Expected Accuracy Range of Cost Estimates for Small Modular Reactors at the Early Concept Design Stage." In 2018 26th International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/icone26-81799.

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Life cycle cost is an important consideration for the development and selection of new power generation technology. Large nuclear power plants (NPPs) have been subject to capital cost escalation, stemming from delays related to late design changes, procurement issues for major components, and regulatory enforced changes. These factors have contributed to the significant risk premium associated with gigawatt scale “Gen III+” designs, which have incurred significant financing costs. Large NPPs have become prohibitively expensive for many utility investors in liberalized markets and smaller economies. The challenge of reducing upfront capital costs is one of the requirements that have driven the development of innovative Small Modular Reactors (SMRs). These designs are said to offer reduced unit cost and reduced risk due to certainty of delivery, which could lead to a lower cost of capital for a utility customer. By offering a product with more cost certainty the SMR could restore investor confidence in nuclear power. The life cycle cost estimates associated with the different SMR designs are uncertain at the early stage of development. However, designers need to understand, with some confidence, the impact of technical decisions at the early development phase on the life cycle cost. This study presents an overview of cost uncertainty associated with the early design stage of the SMR. The types of cost estimating approaches available at the concept design phase are identified and categorized in terms of their expected accuracy ranges. The Overnight Cost of Construction (OCC) is an important driver of the life cycle cost of a power generation project. The expected accuracy ranges from each estimating method are used to illustrate the sensitivity of cost uncertainty to the level of design maturity. By understanding the sources and impact of cost uncertainty decision making during product development can be optimized to meet both technical and commercial requirements.

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Valdiero, Antonio C., Ronei O. Ziech, Mauricio S. Pinto, Ivan J. Mantovani, and Luiz A. Rasia. "Development and Construction of an Instrumentalized Workbench With a Hydraulic Motor for Farm Machine Testing." In 9th FPNI Ph.D. Symposium on Fluid Power. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/fpni2016-1552.

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This work addresses the design and the construction of an instrumentalized workbench with hydraulic motor. The primary purpose of estimating the consumed power for farm machines, as for example the power consumption on the drive shaft of a variable rate fertilizer targeted for applications in precision agriculture. The estimate of the consumed power is important for the better design of the transmission elements and for machines control and design, collaborating for the reduction of the mass and the costs of the prototype. The instrumentalized workbench was used to estimate the actual consumed power in fertilizer dosing devices used in precision agriculture, allowing the correct specification of the power system to drive and the validation of modeling and variable rate control. The aim is to measure and to evaluate the power consumption of a commercial fertilizer in different fertilization rates with usual fertilizer. The used methodology is based on the needs analysis, design and construction of an instrumented bench with hydraulic motor for fertilizer prototype testing. The experimental prototype was tested at the Innovation Center for Automatic Machines and Servo Systems (NIMASS) in UNIJUÍ University with support by IMASA, FINEP and CNPq. Tests with fertilizer mounted allowed the calculation of the consumed volumetric flow rates and the load pressure of the hydraulic motor, thus enabling the estimated consumed power. This research intends to contribute for the modeling and design of hydraulic systems applications in farm machines and the innovations development to technology transfer to manufacturer national company.

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Alroomi, Anwar, David Jeong, Oswald Chong, and Garold Oberlender. "Identification and Assessment of Cost Estimating Competencies." In Construction Research Congress 2010. Reston, VA: American Society of Civil Engineers, 2010. http://dx.doi.org/10.1061/41109(373)15.

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Chidambaram, Bala, and Alice M. Agogino. "Function-Costing Applied to Brushless D.C. Permanent Magnet Motors." In ASME 1997 Design Engineering Technical Conferences. American Society of Mechanical Engineers, 1997. http://dx.doi.org/10.1115/detc97/dac-3764.

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Abstract Function-costing is a cost-estimation hypothesis that helps designers estimate costs from a product’s specifications. It is surmised, that for a class of products, the relationship between cost and the primary function can be captured in a mathematical relation. It proceeds on the basis that in a free market, the lowest cost of a product will emerge over time and this cost can be roughly approximated from the product’s primary performance function. In this paper, we validate the function-costing hypothesis for Brushless D.C. permanent magnet motors (BDCPMMs). The principal function of these motors is to provide torque and the peak torque is chosen as the primary performance function. From the cost-peak torque data of a family of eight BDCPMMs produced by a motor manufacturer, we obtain a regression-based cost-estimation relation based on the function-costing hypothesis. The manufacturing processes involved in the BDCPMM construction are studied. A detailed cost-estimation function — in terms of the BDCPMM design variables — is developed using the principle of similarity and the cost data from the eight motors. The costs of constructing a motor for different peak torques is then obtained from a nonlinear discrete optimization formulation (minimum cost objective), which is solved using a genetic algorithm. These costs compare well with the costs predicted by function-costing and validate the hypothesis for BDCPMMs. Finally, we investigate potential applications of function-costing to BDCPMM redesign.

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Reports on the topic "Estimating construction costs"

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Feierl, Lukas, Maria Moser, and Hannes Poier. Modular conception and construction. IEA SHC Task 55, October 2020. http://dx.doi.org/10.18777/ieashc-task55-2020-0010.

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The factsheet gives a high-level definition of designing solar thermal systems for district heating. In addition, modules are introduced which can be used for modelling systems and finally, methods for estimating energy yield and costs of systems are described.

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Tanner, Patrick, and Robert Neathammer. Cost Estimating Guide for Performing Economic Analyses in the Military Construction, Army (MCA) Process. Fort Belvoir, VA: Defense Technical Information Center, January 1991. http://dx.doi.org/10.21236/ada232873.

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Ribeiro, João A., Paulo J. Pereira, and Elísio M. Brandão. A real options model to determine the optimal contractual penalty for a BOT project. CICEE. Universidade Autónoma de Lisboa, 2021. http://dx.doi.org/10.26619/ual-cicee/wp06.2021.

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Public-Private Partnerships (PPP) became one of the most common types of public procurement arrangements and Build-Own-Transfer (BOT) projects, awarded through adequate bidding competitions, have been increasingly promoted by governments. The theoretical model herein proposed is based on a contractual framework where the government grants leeway to the private entity regarding the timing for project implementation. However, the government is aware that delaying the beginning of operations will lead to the emergence of social costs, i.e., the costs that result from the corresponding loss of social welfare. This fact should motivate the government to include a contractual penalty in case the private firm does not implement the project immediately. The government also recognizes that the private entity is more efficient in constructing the project facility and also in running the subsequent operations. The model’s outcome is the optimal value for the legal penalty the government should include in the contract form. Sensitivity analysis reveals that there is a level for each of the comparative efficiency factors above which there is no need to impose a contractual penalty, for a given level of social costs. Finally, the effects of including a non-optimal penalty value in the contract form, which derives from overestimating or underestimating the selected bidder’s real comparative efficiency are examined, using a numerical example. Results demonstrate that overestimating (underestimating) the selected bidder’s real comparative efficiency leads to the inclusion of a below-optimal (above-optimal) value for the legal penalty in the contract and produces effects the government should prevent by estimating the comparative efficiency factors with full accurac.

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